Computational diagnosis of skin lesions from dermoscopic images using combined features

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

(2017) Lequan Yu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

WN-based approach to melanoma diagnosis from dermoscopy images

(2017) Amir Reza Sadri et al.   IET Image Processing

Development of a clinically oriented system for melanoma diagnosis

(2017) Catarina Barata et al.   PATTERN RECOGNITION

Convolutional Neural Network Based Clustering and Manifold Learning Method for Diabetic Plantar Pressure Imaging Dataset

(2017) Zairan Li et al.   Journal of Medical Imaging and Health Informatics

Clinically inspired analysis of dermoscopy images using a generative model

(2016) Catarina Barata et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

A computational approach for detecting pigmented skin lesions in macroscopic images

(2016) Roberta B. Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Computational methods for pigmented skin lesion classification in images: review and future trends

(2016) Roberta B. Oliveira et al.   NEURAL COMPUTING & APPLICATIONS

A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model

(2016) Zhen Ma et al.   IEEE Journal of Biomedical and Health Informatics

Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy

(2015) Ilias Maglogiannis et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Four-Class Classification of Skin Lesions With Task Decomposition Strategy

(2015) Kouhei Shimizu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Automated Quantification of Clinically Significant Colors in Dermoscopy Images and Its Application to Skin Lesion Classification

(2014) M. Emre Celebi et al.   IEEE Systems Journal

An ensemble classification approach for melanoma diagnosis

(2014) Gerald Schaefer et al.   Memetic Computing

Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists

(2013) Maciel Zortea et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis

(2013) Jose Luis García Arroyo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features

(2013) Catarina Barata et al.   IEEE Systems Journal

Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis

(2012) R. Garnavi et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Melanoma recognition framework based on expert definition of ABCD for dermoscopic images

(2012) Qaisar Abbas et al.   SKIN RESEARCH AND TECHNOLOGY

Toward a Unified Color Space for Perception-Based Image Processing

(2011) I. Lissner et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Lesion border detection in dermoscopy images

(2009) M.Emre Celebi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Overview of Advanced Computer Vision Systems for Skin Lesions Characterization

(2009) I. Maglogiannis et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Supervised pattern classification based on optimum-path forest

(2009) J. P. Papa et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

A new method describing border irregularity of pigmented lesions

(2009) Yu Zhou et al.   SKIN RESEARCH AND TECHNOLOGY

An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm

(2008) Hitoshi Iyatomi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Automatic detection of blue-white veil and related structures in dermoscopy images

(2008) M. Emre Celebi et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS